Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-uncased-distilled-clinc1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilbert-base-uncased-distilled-clinc1
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1812
+- Accuracy: 0.9481
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 8.660546177438939e-05
+- train_batch_size: 192
+- eval_batch_size: 48
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=2.6899659744978047e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 80   | 1.6569          | 0.8194   |
+| No log        | 2.0   | 160  | 0.5149          | 0.9213   |
+| No log        | 3.0   | 240  | 0.2568          | 0.9390   |
+| 1.0457        | 4.0   | 320  | 0.2040          | 0.9455   |
+| 1.0457        | 5.0   | 400  | 0.1861          | 0.9452   |
+| 1.0457        | 6.0   | 480  | 0.1812          | 0.9481   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1